Linear-scaling Algorithms

Linear-Scaling Algorithms is a computational method in quantum chemistry whose time and memory requirements scale asymptotically linear with the system size, enabling efficient electronic structure calculations for large molecules by exploiting spatial locality of electronic interactions.

467

Publications

72.9K

Citations

977

Authors

412

Institutions

Publications per year

2017–2026

78

Variants

Linear Scaling MethodsO(n) Algorithms

Authors

977

  1. CO
    Christian Ochsenfeld

    Ludwig-Maximilians-Universität München, Germany

    22 publications · 1.5K citations

    20

    h-index

  2. MC
    Matt Challacombe

    Los Alamos National Laboratory, United States

    13 publications · 1.3K citations

    13

    h-index

  3. MH
    Martin Head‐Gordon

    University of California, Berkeley, United States

    13 publications · 2.9K citations

    13

    h-index

  4. GE
    Gustavo E. Scuseria

    Rice University, United States

    13 publications · 2.4K citations

    13

    h-index

  5. PV
    Priya Vashishta

    University of Southern California, United States

    10 publications · 504 citations

    10

    h-index

1–5 of 977

Venues

  1. The Journal of Chemical Physics

    125 publications · 19.2K citations

    64

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 41 publications · 3.3K citations

    27

    h-index

  3. Journal of Computational Chemistry

    29 publications · 15.1K citations

    21

    h-index

  4. Physical review. B, Condensed matter

    PRB · 17 publications · 5.3K citations

    15

    h-index

  5. Journal of Physics Condensed Matter

    17 publications · 8.3K citations

    15

    h-index

1–5